Junior Data Engineer

West 4th Strategy•Washington, DC

8d•$100,000 - $105,000•Remote

About The Position

The Junior Data Engineer will support the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller, which manages budget and financial accountability for Department of War programs. The role collects, cleans, and transforms data into actionable information; helps maintain reliable datasets and analytics pipelines; and applies foundational data and analytical techniques to large structured and unstructured datasets. The position also supports senior data scientists and communicates data findings to stakeholders. This is a full-time, fully remote opportunity requiring an active Secret security clearance, U.S. citizenship, and successful completion of a federal background investigation. The position is W-2 only, with no Corp-to-Corp or 1099 candidates. The stated schedule is 40 hours per week, eight hours per day. Salary is $100,000 to $105,000. Relocation is not offered.

Requirements

Bachelor’s or master’s degree in a relevant field.
One to three years of foundational experience using Python, SQL, R, or similar languages for data manipulation, ETL, or analytics workflows.
Exposure to data-processing frameworks or platforms such as Databricks, Spark, or equivalent, and familiarity with mapping raw-to-scrubbed data stages.
Understanding of data mining, machine learning fundamentals, NLP techniques, and data modeling.
Ability to perform data validation, identify anomalies, and support data-quality governance under guidance from senior team members.
Ability to interpret trends, visualize results, and communicate data findings using dashboards and modern visualization tools.
Active Secret security clearance.
U.S. citizenship.
Must pass a federal background investigation and meet facility and system access requirements.

Nice To Haves

Exposure to mission-focused analytics platforms and large-scale enterprise datasets.
Familiarity with audit workflows, financial data environments, or systems involving structured and semi-structured data integrations.
Experience collaborating with cross-functional teams and translating business requirements into basic analytical or software tasks.
Experience building lightweight scripts or prototypes that automate small analytical tasks or data transformations.

Responsibilities

Collect, clean, and transform raw data into meaningful and actionable information.
Help build and maintain reliable datasets.
Help implement techniques and analytical applications using data-oriented programming languages, visualization tools, and modern computational methods.
Apply foundational data mining, data modeling, natural language processing, and machine learning techniques to large structured and unstructured datasets.
Visualize, interpret, and report data findings, occasionally developing dynamic or automated data reports for stakeholders.
Analyze patterns and validate data quality.
Assist with troubleshooting data workflows.
Support senior data scientists in maintaining stable, well-governed analytics pipelines.